| Clip-nerf: Text-and-image driven manipulation of neural radiance fields C Wang, M Chai, M He, D Chen, J Liao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 120 | 2022 |
| Single-view hair modeling for portrait manipulation M Chai, L Wang, Y Weng, Y Yu, B Guo, K Zhou ACM Transactions on Graphics (TOG) 31 (4), 1-8, 2012 | 110 | 2012 |
| Autohair: Fully automatic hair modeling from a single image M Chai, T Shao, H Wu, Y Weng, K Zhou ACM Transactions on Graphics 35 (4), 2016 | 101 | 2016 |
| Motion representations for articulated animation A Siarohin, OJ Woodford, J Ren, M Chai, S Tulyakov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 89 | 2021 |
| High-quality hair modeling from a single portrait photo M Chai, L Luo, K Sunkavalli, N Carr, S Hadap, K Zhou ACM Transactions on Graphics (TOG) 34 (6), 1-10, 2015 | 86 | 2015 |
| Dynamic hair manipulation in images and videos M Chai, L Wang, Y Weng, X Jin, K Zhou ACM Transactions on Graphics (TOG) 32 (4), 1-8, 2013 | 86 | 2013 |
| A good image generator is what you need for high-resolution video synthesis Y Tian, J Ren, M Chai, K Olszewski, X Peng, DN Metaxas, S Tulyakov arXiv preprint arXiv:2104.15069, 2021 | 74 | 2021 |
| Michigan: multi-input-conditioned hair image generation for portrait editing Z Tan, M Chai, D Chen, J Liao, Q Chu, L Yuan, S Tulyakov, N Yu arXiv preprint arXiv:2010.16417, 2020 | 54 | 2020 |
| A reduced model for interactive hairs M Chai, C Zheng, K Zhou ACM Transactions on Graphics (TOG) 33 (4), 1-11, 2014 | 47 | 2014 |
| A data-driven approach to four-view image-based hair modeling. M Zhang, M Chai, H Wu, H Yang, K Zhou ACM Trans. Graph. 36 (4), 156:1-156:11, 2017 | 39 | 2017 |
| Revisiting image aesthetic assessment via self-supervised feature learning K Sheng, W Dong, M Chai, G Wang, P Zhou, F Huang, BG Hu, R Ji, C Ma Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5709-5716, 2020 | 37 | 2020 |
| Efficient semantic image synthesis via class-adaptive normalization Z Tan, D Chen, Q Chu, M Chai, J Liao, M He, L Yuan, G Hua, N Yu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 4852-4866, 2021 | 36 | 2021 |
| Interactive video stylization using few-shot patch-based training O Texler, D Futschik, M Kučera, O Jamriška, Š Sochorová, M Chai, ... ACM Transactions on Graphics (TOG) 39 (4), 73: 1-73: 11, 2020 | 35 | 2020 |
| End-to-end time-lapse video synthesis from a single outdoor image S Nam, C Ma, M Chai, W Brendel, N Xu, SJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
| Hair interpolation for portrait morphing Y Weng, L Wang, X Li, M Chai, K Zhou Computer Graphics Forum 32 (7), 79-84, 2013 | 31 | 2013 |
| Diverse semantic image synthesis via probability distribution modeling Z Tan, M Chai, D Chen, J Liao, Q Chu, B Liu, G Hua, N Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 29 | 2021 |
| Stabilized real-time face tracking via a learned dynamic rigidity prior C Cao, M Chai, O Woodford, L Luo ACM Transactions on Graphics (TOG) 37 (6), 1-11, 2018 | 29 | 2018 |
| Real-time animation method for hair-object collisions CZ K Zhou, M Chai US Patent App. 10/311,623, 2018 | 28* | 2018 |
| Human motion transfer from poses in the wild J Ren, M Chai, S Tulyakov, C Fang, X Shen, J Yang Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 19 | 2020 |
| Flow guided transformable bottleneck networks for motion retargeting J Ren, M Chai, OJ Woodford, K Olszewski, S Tulyakov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 18 | 2021 |
Sergey TulyakovPrincipal Scientist, Snap Inc.Verified email at snap.com
